<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mayr CH</submitter><funding>Bundesministerium für Bildung und Forschung</funding><funding>Deutsche Zentrum für Lungenforschung</funding><funding>NHLBI NIH HHS</funding><funding>Helmholtz Association</funding><funding>Max-Planck-Gesellschaft</funding><funding>Cordis</funding><pagination>e12871</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8033531</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(4)</volume><pubmed_abstract>The correspondence of cell state changes in diseased organs to peripheral protein signatures is currently unknown. Here, we generated and integrated single-cell transcriptomic and proteomic data from multiple large pulmonary fibrosis patient cohorts. Integration of 233,638 single-cell transcriptomes (n = 61) across three independent cohorts enabled us to derive shifts in cell type proportions and a robust core set of genes altered in lung fibrosis for 45 cell types. Mass spectrometry analysis of lung lavage fluid (n = 124) and plasma (n = 141) proteomes identified distinct protein signatures correlated with diagnosis, lung function, and injury status. A novel SSTR2+ pericyte state correlated with disease severity and was reflected in lavage fluid by increased levels of the complement regul</pubmed_abstract><journal>EMBO molecular medicine</journal><pubmed_title>Integrative analysis of cell state changes in lung fibrosis with peripheral protein biomarkers.</pubmed_title><pmcid>PMC8033531</pmcid><funding_grant_id>874656</funding_grant_id><funding_grant_id>R01 HL146519</funding_grant_id><pubmed_authors>Reichenberger F</pubmed_authors><pubmed_authors>Silbernagel E</pubmed_authors><pubmed_authors>Adler H</pubmed_authors><pubmed_authors>Bohm S</pubmed_authors><pubmed_authors>Lindner M</pubmed_authors><pubmed_authors>Theis FJ</pubmed_authors><pubmed_authors>Geyer PE</pubmed_authors><pubmed_authors>Hilgendorff A</pubmed_authors><pubmed_authors>Leuschner G</pubmed_authors><pubmed_authors>Mann M</pubmed_authors><pubmed_authors>Kneidinger N</pubmed_authors><pubmed_authors>Angelidis I</pubmed_authors><pubmed_authors>Prasse A</pubmed_authors><pubmed_authors>Maurer B</pubmed_authors><pubmed_authors>Simon LM</pubmed_authors><pubmed_authors>Schniering J</pubmed_authors><pubmed_authors>Behr J</pubmed_authors><pubmed_authors>Singh P</pubmed_authors><pubmed_authors>Schiller HB</pubmed_authors><pubmed_authors>Mayr CH</pubmed_authors><pubmed_authors>Ansari M</pubmed_authors><pubmed_authors>Strunz M</pubmed_authors><pubmed_authors>Eickelberg O</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrative analysis of cell state changes in lung fibrosis with peripheral protein biomarkers.</name><description>The correspondence of cell state changes in diseased organs to peripheral protein signatures is currently unknown. Here, we generated and integrated single-cell transcriptomic and proteomic data from multiple large pulmonary fibrosis patient cohorts. Integration of 233,638 single-cell transcriptomes (n = 61) across three independent cohorts enabled us to derive shifts in cell type proportions and a robust core set of genes altered in lung fibrosis for 45 cell types. Mass spectrometry analysis of lung lavage fluid (n = 124) and plasma (n = 141) proteomes identified distinct protein signatures correlated with diagnosis, lung function, and injury status. A novel SSTR2+ pericyte state correlated with disease severity and was reflected in lavage fluid by increased levels of the complement regul</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2026-04-16T11:46:23.22Z</modification><creation>2022-02-09T16:01:30.122Z</creation></dates><accession>S-EPMC8033531</accession><cross_references><pubmed>33650774</pubmed><doi>10.15252/emmm.202012871</doi></cross_references></HashMap>